Class "Rcpp_miceFast"

This C++ class could be used to build a miceFast objects by invoking new(miceFast) function.

References

See the documentation for Rcpp modules for more details of how this class was built. vignette("Rcpp-modules", package = "Rcpp")

Note

This is only frame for building C++ object which could be used to implement certain methods. Check the vignette for more details of implementing these methods.

Vigniette: https://CRAN.R-project.org/package=miceFast

Methods

set_data(...):

providing data by a reference - a numeric matrix

set_g(...):

providing a grouping variable by a reference - a numeric vector WITOUT NA values - positive values

set_w(...):

providing a weightinh variable by a reference - a numeric vector WITOUT NA values - positive values

set_ridge(...):

providing a ridge i.e. the disturbance to diag of XX, default 1e-6

get_data(...):

retrieving the data

get_w(...):

retrieving the weighting variable

get_g(...):

retireiving the grouping variable

get_ridge(...):

retireiving the ridge disturbance

get_index(...):

getting the index

impute(...):

impute data under characterstics from the object like a optional grouping or weighting variable

impute_N(...):

multiple imputations - impute data under characterstics from the object like a optional grouping or weighting variable

update_var(...):

permanently update the variable at the object and data. Use it only if you are sure about model parameters

get_models(...):

get possible quantitative models for a certain type of dependent variable

get_model(...):

get a recommended quantitative model for a certain type of dependent variable

which_updated(...):

which variables at the object was modified by update_var

sort_byg(...):

sort data by the grouping variable

is_sorted_byg(...):

check if data is sorted by the grouping variable

vifs(...):

Variance inflation factors (VIF) - helps to check when the predictor variables are not linearly related

initialize(...):

...

finalize():

...

Examples

#showClass("Rcpp_miceFast")
show(miceFast)
#> C++ class 'miceFast' <0x600002f10300>
#> Constructors:
#>     miceFast()
#> 
#> Fields: No public fields exposed by this class
#> 
#> Methods: 
#>      arma::Mat<double> get_data()  
#>            
#>      arma::Col<double> get_g()  
#>            
#>      arma::Col<unsigned int> get_index()  
#>            
#>      std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> get_model(int)  
#>            
#>      std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> get_models(int)  
#>            
#>      double get_ridge()  
#>            
#>      arma::Col<double> get_w()  
#>            
#>      Rcpp::List impute(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, int, arma::Col<unsigned int>)  
#>            
#>      Rcpp::List impute_N(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, int, arma::Col<unsigned int>, int)  
#>            
#>      bool is_sorted_byg()  
#>            
#>      void set_data(arma::Mat<double>)  
#>            
#>      void set_g(arma::Col<double>)  
#>            
#>      void set_ridge(double)  
#>            
#>      void set_w(arma::Col<double>)  
#>            
#>      void sort_byg()  
#>            
#>      void update_var(int, arma::Col<double>)  
#>            
#>      arma::Col<double> vifs(int, arma::Col<unsigned int>)  
#>            
#>      std::__1::vector<int, std::__1::allocator<int>> which_updated()  
#>            
new(miceFast)
#> C++ object <0x122e3a800> of class 'miceFast' <0x600002f10300>